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Record W4385739964 · doi:10.1075/ld.00153.dru

(Im)politeness mismatches in the multi-dialogic pragmatics of telecinematic satire

2023· article· en· W4385739964 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLanguage and Dialogue · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDialogicPolitenessLinguisticsPragmaticsPsychologyReflexivityConstruct (python library)Meaning (existential)TypologySociologyComputer sciencePedagogyPhilosophy

Abstract

fetched live from OpenAlex

Abstract The paper addresses the problem of (im)politeness in light of mismatches between what we/others say and what we/others mean in a multi-dialogic search for meaning where humans integrate all their competence-in-performance and co-construct situated relationships in a more or less sustainable way. We examine how these processes occur by analyzing (im)politeness mismatches in telecinematic satire using dialogic speech act typology and methods of the Mixed Game Model to describe and explain the communicative meta-meaning of (im)politeness. We demonstrate that in satire the dialogic semantics of (im)politeness is polyvalent, interactant-relative, temporally variable, scalar and self-reflexive because it is part of integrational language-in-use engagement with the world through which humans construct multiple relational domains and relationships in them.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.303
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it